Anne-Marie Hanff
@ahanff.bsky.social
88 followers 81 following 34 posts
Proud to be a #nurse loving #science More information: https://youtu.be/ZwUl8dD1hFY?si=lthv9fpa6eLluoxo
Posts Media Videos Starter Packs
Thanks to @fnr.lu for supporting @spilleron.bsky.social with this #RESCOMLectureSeries on #CausalInferenceMethodsForRealWorldData, a valuable step toward integrating real-world data and causal inference into Luxembourg’s research landscape! 3/3🧵
As @spilleron.bsky.social , @paulineduquenne.bsky.social and I showed Peter around the @uni.lu Campus, we had interesting discussions about the challenges & opportunities for epidemiology in our small but multicultural country. Hope this won’t be the last time we cross paths in Luxembourg! 2/3🧵
It was a real pleasure to welcome Dr. @pwgtennant.bsky.social to Luxembourg 🇱🇺!
He gave an inspiring talk on causal inference, and his contagious enthusiasm sparked a genuine interest in applying these methods in Luxembourg. 1/3🧵
Very excited to be in Luxembourg - with the Aging, Cancer, & Disparaties Research Unit green mascot - to launch the RESCOM lecture series in causal inference!

Future speakers from an amazing lineup include @georgiatomova.bsky.social, @miguelhernan.org, Mats Stenrund, & @dingdingpeng.the100.ci!
Reposted by Anne-Marie Hanff
RFK Jr has promised to release a report on the causes of autism in September. To prepare, it's a good idea to make sure we know what the common types of observational research biases are. First up: confounding by indication.
Read more here: open.substack.com/pub/epiellie...
Confounding by Indication: A Research Bias You Should Know
It’s September which means RFK Jr will soon be releasing his promised report on the ‘causes’ of autism. We can prepare by learning some key types of research bias.
open.substack.com
Another phenomenon that you discuss differently once you participated in @pwgtennant.bsky.social 's
#CausalIntroCourse
Thank you for your input 👍
Let's think this through. I'll draw a DAG, seek diverse input and feedback, and come back to this post. Do you have anything in mind?
@spilleron.bsky.social a good example for the journal club 😆
Before #CausalInferenceIntro:
"Hmm, this association looks unusual" 🤔

After #CausalInferenceIntro:
"Have you considered the possibility of collider bias?" 🤓

@pwgtennant.bsky.social @georgiatomova.bsky.social @jlrohmann.bsky.social @meghanforr.bsky.social
@laurieberrie.bsky.social
Rodrigo
Reposted by Anne-Marie Hanff
70 people having a curry at the amazing Bengal Brasserie restaurant in Leeds City Centre!

My favourite part of the #CausalIntroCourse!
@pwgtennant.bsky.social pushed us right over the causal cliff! 😆
Ready for #CausalIntroCourse Day 2.
Today's menu: DAGs and Propensity Scores
Two years ago: World Parkinson's Conference ➡️ Today: Start of the Introduction to causal inference course with @pwgtennant.bsky.social in Leeds #CausalIntroCourse
Excellent presentation by my PhD supervisor @chrismccrum.bsky.social 👏 well deserved
And up next Promising Scientist winner #ISPGR2025 @chrismccrum.bsky.social to talk about fall prevention through the lens of a sprints coach - we don’t expect athletes to win medals without practice, so why would we expect older people to recover from falls without it?
Everything set up for the #ISPGR2025
Next speaker: @chrismccrum.bsky.social, the promising scientist of 2025 👏
#NursesCanSciences
2🧵: 🚨 Why does this happen? We still need more research to understand the reasons behind these differences. But one thing is clear: healthcare and research need to consider these gender differences to improve care for everyone affected by Parkinson's.
1🧵: Through an in-depth analysis of 802 individuals, we found that women tend to have a slower progression of memory loss, sleep issues, walking difficulties, balance problems, and motor symptoms.